grnola

Undergrad Institution: Top 25 Public School in the US Undergrad Major: Applied Mathematics and Statistics GPA: 3.72 Coursework: Ordinary Differential Equations (A), Probability Theory (A), Statistical Theory (A), Calc 1,2,3 (A), Linear Algebra (A-), Coding in Python (A), Financial Mathematics (A-) (Note: No A+'s in undergrad's grading system) Master Degree in a top 3 US Quant Program: GPA: 3.38 Highlights: Numerical Analysis in C++ (A+), Computing in C++ (A), Time Series Analysis (A), Machine Learning Capstone (A), Simulation Methods (A), Data Science (A-) Misc: Machine Learning (B), Stochastic Calculus (D) - I was dealing with a loss in my family during this semester. Also didn't score well on finance-focused classes. Experience: Internship and currently working at a small quant trading firm as a quant researcher Tutored statistics in undergrad Awards: Full undergrad scholarship, magna cum laude LORs: - Strong: Data Science professor who oversaw my graduate capstone project - Strong: Math Professor who I took Linear Algebra and Calc 2 with in undergrad - Tossup: Head of Applied Math program in undergrad Planning to apply to: Reaches - Berkeley, Columbia, Chicago, Washington. Realistic: UCLA, Stony Brook, UCSD, UT Austin